-
Hi.
Thank you for sharing your amazing works.
Could I get the source code to train my network using fully-supervised pairwise loss, which is eq. (5) in the paper.
Best,
Dongmin Choi.
-
hello, does boxinst support onnx ?
-
(openmmlab) @amax:/data0/ZHL/project/DET2D/rope2D/BoxInstSeg$ CUDA_VISIBLE_DEVICES=5 python tools/train.py configs/boxinst/boxinst_r50_fpn_1x_coco.py
Traceback (most recent call last):
File "tools…
-
Hi! I wanna train my personal data(1 class). can u give me some instructions？should i convert my data into coco format? thx!
-
Hello, I'm trying to train Coninst and BoxInst on the Cityscapes dataset, but i got a poor performance both of them. Can you give me some advices. Thank you.
-
I did not modify the config file, except for the dataset, I trained on my own dataset.
Looking forward to a reply！
-
BoxInst is a really nice job!
In your paper, you did an extension experiment which is a semi-supervised instance segmentation task. I wonder if there is a handy way to reproduce those results shown i…
njuxx updated
3 years ago
-
@tianzhi0549 Hello, When I use the file onnx/export_model_to_onnx.py encountered a question I don't understand.
When outputting the CondInst onnx, dynamic_mask_head part used as post-processing? W…
-
@LiWentomng thanks for thsi toolbox it shall be very helpfull to the community, just had few queries
can we use this to train instance segmentation using BDD100k dataset for all the scenes
Panpoti…
-
Hi,
I tried installing your package inside an nvidia cuda docker, I made sure to install correct and cuda supporting versions of pytorch and mmcv-full, and used the bash setup.sh command to install y…